code: def indices(
      dimensions: Sequence[int],
      *,
      dtype: Union[ivy.Dtype, ivy.NativeDtype] = ivy.int64,
      sparse: bool = False,
  ) -> Union[ivy.Array, Tuple[ivy.Array, ...]]:
      """Return an array representing the indices of a grid.
  
      Parameters
      ----------
      dimensions
          The shape of the grid.
      dtype
          The data type of the result.
      sparse
          Return a sparse representation of the grid instead of a dense representation.
  
      Returns
      -------
      ret
          If sparse is False, returns one grid indices array of shape
          (len(dimensions),) + tuple(dimensions).
          If sparse is True, returns a tuple of arrays each of shape
          (1, ..., 1, dimensions[i], 1, ..., 1) with dimensions[i] in the ith place.
  
      Examples
      --------
      >>> ivy.indices((3, 2))
      ivy.array([[[0 0]
                  [1 1]
                  [2 2]]
                 [[0 1]
                  [0 1]
                  [0 1]]])
      >>> ivy.indices((3, 2), sparse=True)
      (ivy.array([[0], [1], [2]]), ivy.array([[0, 1]]))
      """
      if sparse:
          return tuple(
              ivy.arange(dim)
              .expand_dims(
                  axis=[j for j in range(len(dimensions)) if i != j],
              )
              .astype(dtype)
              for i, dim in enumerate(dimensions)
          )
      else:
          grid = ivy.meshgrid(
              *[ivy.arange(dim) for dim in dimensions], indexing="ij"
          )
          return ivy.stack(grid, axis=0).astype(dtype)
  
imports: from typing import Union, Tuple, Optional, Sequence, Iterable, Generator
  import warnings
  import ivy
  from ivy.utils.backend import current_backend
  from ivy.utils.exceptions import handle_exceptions
  from ivy.func_wrapper import outputs_to_ivy_arrays, handle_nestable, to_native_arrays_and_back, handle_out_argument, infer_dtype, handle_array_like_without_promotion, inputs_to_ivy_arrays, handle_device, handle_backend_invalid, handle_array_function
label_desc: Use image node_id 11 for calling a global function with example usage: indices(dimensions) and returns: tuple, ivy